Basketball is among the most popular sports in the world, and its related industries have
also produced huge economic benefits. In recent years, the application of artificial …

In this report, we organize and reflect on recent advances and challenges in the field of
sports data visualization. The exponentially‐growing body of visualization research based …

Using data from one season of NBA games, Basketball Data Science: With Applications in R
is the perfect book for anyone interested in learning and applying data analytics in …

In basketball, measures of individual player performance provide critical guidance for a
broad spectrum of decisions related to training and game strategy. However, most studies …

Because of the advent of GPS techniques, a wide range of scientific literature on Sport
Science is nowadays devoted to the analysis of players' movement in relation to team …

This paper proposes tools for spatial performance analysis in basketball. In detail, we aim at
representing maps of the court visualizing areas with different levels of scoring probability of …

Assessing the scoring probability of teams and players in different areas of a court map is an
important topic in basketball analytics, in order to define both game strategies and training …

In a close game of basketball, victory or defeat can depend on a single shot. Being able to
identify the best player and play scenario for a given opponent's defense can increase the …

A new approach in team sports analysis consists in studying positioning and movements of
players during the game in relation to team performance. State of the art tracking systems …

In this contribution, we propose a reflection on the potential of data visualisation
technologies for (informed) public policy making in a growingly complex and fast changing …